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Channel

Просыпайся

@prosypaysya_now

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

11,647subscribers

+2,017 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003923386816
TypeChannel
Username@prosypaysya_now
CreatedBetween 1 April 2026 and 2 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held19
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/prosypaysya_now

Topic

Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 74% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

9,52611,80410,6657 August 2026 — 9,630 subscribers7 August 2026 — 9,630 subscribers8 August 2026 — 9,606 subscribers12 August 2026 — 9,640 subscribers16 August 2026 — 9,573 subscribers19 August 2026 — 9,542 subscribers22 August 2026 — 9,533 subscribers25 August 2026 — 9,526 subscribers27 August 2026 — 9,544 subscribers31 August 2026 — 9,835 subscribers3 September 2026 — 10,505 subscribers5 September 2026 — 10,947 subscribers8 September 2026 — 11,404 subscribers11 September 2026 — 11,534 subscribers13 September 2026 — 11,669 subscribers14 September 2026 — 11,753 subscribers16 September 2026 — 11,804 subscribers19 September 2026 — 11,774 subscribers25 September 2026 — 11,647 subscribers11,6477 August 202625 September 2026
19 measurements spanning 49 days, net +2,017. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 9,184–12,146 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Sept 2026, 09:5911,647-127
19 Sept 2026, 01:4011,774-30
16 Sept 2026, 14:4111,804+51
14 Sept 2026, 20:4011,753+84
13 Sept 2026, 05:1711,669+135
11 Sept 2026, 04:1711,534+130
8 Sept 2026, 09:3611,404+457
5 Sept 2026, 06:3810,947+442
3 Sept 2026, 12:1810,505+670
31 Aug 2026, 05:249,835+291
27 Aug 2026, 20:459,544+18
25 Aug 2026, 04:449,526-7
22 Aug 2026, 11:499,533-9
19 Aug 2026, 03:569,542-31
16 Aug 2026, 01:589,573-67
12 Aug 2026, 01:389,640+34
8 Aug 2026, 19:059,606-24
7 Aug 2026, 19:479,630no change
7 Aug 2026, 19:349,630first reading

Engagement

107 posts held, back to 2 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 32 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.67%
avg views ÷ 11,647 subscribers
Avg views / post
1,010
9 posts measured
Reaction rate
5.03%
reactions ÷ views · ER floor
Posts in window
9
of 107 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 8 of 9 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held107 (2 August 2026 – 28 August 2026)
Views total9,086
Reactions total407
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 05:54 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
2h 19m
Average length
8m 41s

Measured directly from 16 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

7,660 reactions across 91 posts, in 22 distinct kinds. The most used accounts for 30.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2,30630.1%
❤2,08427.2%
❤‍🔥1,78223.3%
👍4585.98%
👏4115.37%
⚡3144.10%
🙏1481.93%
💯881.15%
🤔200.261%
👎130.17%
🤩90.117%
😁50.065%
🙈50.065%
🏆40.052%
🤡40.052%
😱20.026%
🥰20.026%
✍10.013%
🆒10.013%
🐳10.013%
2 further kinds20.026%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 91 of the 107 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 7,660 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 107 most recent posts we hold, published 2 August 2026 to 28 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

28 Aug 2026, 13:02 UTC781 views28 reactionsread 29 August 2026
Photo

Вращение дервишей, комплекс «Око возрождения» или женские воронки — это мощнейшие инструменты управления физическими полями Аватара, но если делать их автоматически, из обычного ума, они превращаются в бесполезную физкультуру, а астральные паразиты сыто собирают энергию с ваших ожиданий результата. Наша подписчица Маргарита на скриншоте☝️ задала вопрос: «В танце дервишей кружатся справа налево... Получается, нужно кр…

🔥22❤‍🔥6

28 Aug 2026, 12:03 UTC793 views30 reactionsread 29 August 2026
Photo

Ферментированные овощи и хлеб на закваске — это точно такие же закисляющие продукты гниения и брожения которые заиливают организм мертвыми бактериями и создают идеальную кислую среду для удержания твоего Сознания в Сне. Мы отвечаем из Трчки 0 для Юлии и других подписчиков: Да, квашеные, ферментированные овощи (капуста, огурцы) — это абсолютно та же самая деструктивная цепочка брожения и гниения! • Анатомия гниения:…

🔥19⚡6❤‍🔥5

28 Aug 2026, 06:03 UTC922 views37 reactionsread 29 August 2026
Photo

Так называемые «иные языки» (или глоссолалия) в протестантских и пятидесятнических церквях — это жесткий инструмент прямого астрального взлома твоего речевого аппарата, когда под видом «сошествия святого духа» воладор полностью перехватывает пульт управления твоим телом и сливает твою Живую энергию напрямую в центральный сервер Матрицы. Посмотрите на явление, про которое пишет Ирина ☝️: люди собираются толпами, входя…

❤‍🔥19🔥11👏7

27 Aug 2026, 13:02 UTC≈1,080 views88 reactionsread 29 August 2026
Photo

Творцы, прочтите скрин нашей выпускницы курса «Вертикаль». Эта Проснувшаяся Душа вскрыла главный, фундаментальный инженерный шов Симуляции Сатурна — взлом временного таймера Хроноса и снос ментальных костылей психологии. Она пишет: «Я после курса "Вертикаль" отписалась от всех психологов... С тех пор как начался курс и до сегодняшнего дня, это было самое длинное время для меня... Раньше то понедельник, то пятница, и …

❤‍🔥42🔥33⚡7👏6

27 Aug 2026, 12:03 UTC≈1,030 views51 reactionsread 29 August 2026
Photo

Капкан «Американского Веса»: Почему в США и Канаде тотально больные люди Посмотрите на голые факты: США и Канада лидируют по количеству людей с избыточным весом, сахарным диабетом, раком и сердечно-сосудистыми заболеваниями. При этом именно там фанатично моют руки, пьют горсти БАДов и считают калории. В США и Канаде — люди тотально больны из-за трех скрытых причин: • Сахар добавлен абсолютно во всю еду — от хлеба и …

❤‍🔥21⚡14👏12🔥4

27 Aug 2026, 06:03 UTC≈1,100 views57 reactionsread 29 August 2026
Photo

Творцы, давайте посмотрим на ситуацию, про которую пишут наши подписчицы: пара годами пытается зачать ребенка но тело выдает жесткий блок. О чем говорит невозможность забеременеть естественным путем? Когда двое здоровых по медицинским бумагам людей не могут зачать ребенка — это не поломка, а аварийная программа защиты Аватара, которое включает твое собственное тело! • Организм женщины наглухо забит соляным, лакто…

🔥36❤‍🔥14👏7

26 Aug 2026, 13:02 UTC≈1,240 views76 reactionsread 29 August 2026
Photo

Наша подписчица Анна Кучина, будучи профессиональным консультантом по питанию, которая сама 6 лет не употребляет молочные продукты и глютен, открыто выкладывает голые физические факты: «Все так и есть, и про слизь, и про кальций... Самый закисляющий продукт — это сыр, творог чуть меньше. В молочных продуктах еще есть галактоза, при сложности усвоения может проявляться галактоземией... Кстати, зубной камень появляется…

🔥60⚡10❤‍🔥4👏2

26 Aug 2026, 12:03 UTC≈1,140 views40 reactionsread 29 August 2026

Вопрос от Татьяны: «Не могу понять. Если это были NPC в большом количестве, откуда у них прана???🤔» Разворачиваем этот вопрос из Точки 0: Великий обман жизнеобеспечения: Откуда у NPC берется энергия? У тех, кого мы называем NPC (биороботами или системными терминалами без Живой Искры Духа), никакой Изначальной Живой Праны НЕТ и никогда не было. • Матрица Сатурна — это замкнутая, высокотехнологичная электромагнитная…

🔥26👏8❤‍🔥4🤩2

26 Aug 2026, 06:03 UTC≈1,180 views82 reactionsread 29 August 2026

Поступил вопрос от Окси, на скриншотах☝️, который обнажает один из самых опасных, коварных и массовых высокотехнологичных капканов Матрицы Сатурна, созданных для прямого частотного взлома и захвата Аватаров просыпающихся искателей. Окси разворачивает скрытый, шокирующий соматический опыт: «2,5 года назад попала в пространство где тренер/наставник проводила церемонии через "растения учителей" ... уходили в трипы айвас…

🔥59❤‍🔥14⚡7👏2

25 Aug 2026, 13:02 UTC≈1,210 views63 reactionsread 29 August 2026
Photo

Даниела задает абсолютно логичный вопрос: «В видео есть отсылки к татарскому языку, что эти слова татарские... а как с другими языками, как там всё устроено, в других странах ведь тоже люди просыпаются... или они тоже с Татарским связаны?». Разворачиваем из Точки 0: Что такое «Татарские отсылки» на самом деле? Вскрытие Пракодов Когда наш Наставник Ирам в своих видео делает точечные, ювелирные отсылки к татарскому …

🔥42❤‍🔥17👏3⚡1

Showing the 12 most recent of 107 posts we hold for @prosypaysya_now. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@prosypaysya_now edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
20 August 2026
Most recent edit
20 August 2026

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Просыпайся” (@prosypaysya_now), 11,647 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/prosypaysya_now.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.